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Join me on a journey through the different offerings in Azure Arc and how they can benefit you as a data professional!
Are you planning a migrating of your data platform to Azure Synapse Analytics? Is it currently based on Azure Databricks, Azure Data Factory, and Azure Data Lake Storage? Make sure to grab these 10 tips! We'll talk about Spark compatibilities, orchestration pitfalls and solution deployment differences.
In this 100% demo session, I will show you kql magic, kql kernel, and the recently released Azure Monitor Logs extension for Azure Data Studio to consume event logs of the Azure SQL database.
Using open source apache nifi to integrate and ingest data at scale
I will show you demos for how to implement each layer of defense. This way, if one layer is breached, you aren’t left defenseless. We will start at the outer layer with network access. Next, we will cover the authentication and authorization using Azure RBAC. Finally, we will protect the innermost layer with Data At Rest and Data In Transit encryption. Once these protections are in place, we’ll see how to monitor Azure SQL security ecosystem for intrusions with Advanced threat protection.
This session will walk you through three different ways to set up an affordable Azure based Data Warehouse solution. Covering pros and cons with each of the architectures.
Join us, as we explore the capabilities of Azure Arc-enabled SQL Managed Instances.
This session will introduce you to "What and why you should care about", and discuss "how" to apply the Security and Privacy lens for Big Data on AWS.
A short, fast dive into the specific elements of Azure Purview that work well with Data Lakes, and how you implement them yourselves
We'll explore delivering this framework within an enterprise and consider an architect’s perspective on a wider platform of ingestion/transformation workloads with multiple batches and execution stages.
DBA/Developer Toolset to get you out of that hole and save you some time
Azure SQL performance capabilities, how to configure and maintain your Azure SQL for higher performance. We will explore various monitoring tools and pick few scenarios for deeper troubleshooting. In this demo centric session, we will tune our database and find an optimal ground to manage cost. We will generate Power BI powered database score card for trend analysis.
Automate checking your database security model
Two consultants, two different companies, two data professionals passionate about performance tuning. Do we like the same things? Do we have the same approach to problems? Topics will include: Trace Flags, DMVs, DBCC commands, Community Scripts and Intelligent Query Processing Features. We will talk about the features and solutions we agree on, and discuss where we disagree.
Auditing options for Azure SQL offerings
In this session, you will learn where data lives in a computer system, and the key performance metrics used to understand the health and performance of your storage subsystem.
Dynamic SQL is great, until it is used to hack your site. In this session we demonstrate how using the T-SQL "Execute AS" command can limit what can be run using dynamic SQL.
Curious what Azure Synapse Analytics brings to the table? Bring your scuba gear, as we take a dive and explore everything it has to offer!
Learn how to deploy Power BI at scale within a large Enterprise. The mantra behind this is “discipline at the core, flexibility at the edge” - we will cover deploying appropriate guardrails/controls whilst still retaining the notion of “self-service” within the organization.
As far upstream as possible. As far downstream as necessary. In 20 minutes.
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